'Sampling units' presentation slideshows

Data Quality Indicators (DQIs) What are they, and how do they affect me? An US-EPA Approach

Data Quality Indicators (DQIs) What are they, and how do they affect me? An US-EPA Approach. P. A. S. R. C. C. DQIs Defined. DQIs are quantitative and qualitative measures of principal quality attributes; Precision; Bias; Representativeness; Comparability; Completeness; and

1.87k views • 170 slides

Sampling Techniques

1.24k views • 82 slides

Sampling and Occupancy Estimation

Sampling and Occupancy Estimation. Krishna Pacifici Department of Applied Ecology NCSU January 10, 2014. Designing studies. Why, what, and how? Why collect the data? What type of data to collect? How should the data be collected in the field and then analyzed?

746 views • 62 slides

Sampling

Sampling. Basic concepts. Overview. Why do sampling? Steps for deciding sampling methodology Sampling methods Representative vs. bias Probability vs. non-probability Simple, random, systematic and cluster sampling. What is the objective of sampling?.

945 views • 49 slides

647 views • 45 slides

Sampling Techniques

1.5k views • 41 slides

Sampling Techniques

776 views • 41 slides

Wel Come from Nepal

Wel Come from Nepal. FAO-AFMA Regional Workshop on Sampling for Agricultural Censuses and Surveys Bangkok, Thailand 14-18 May 2012. Ambika Bashyal Central Bureau of Statistics Hem Raj Regmi Ministry of Agriculture and Cooperatives Nepal.

519 views • 39 slides

Business Research Methods William G. Zikmund

Business Research Methods William G. Zikmund. Chapter 16: Sample Designs and Sampling Procedures. Sampling Terminology. Sample Population or universe Population element Census. Sample.

676 views • 33 slides

Sampling and monitoring the environment-2

554 views • 32 slides

Multistage Sampling

Multistage Sampling. Outline. Features of Multi-stage Sample Designs Selection probabilities in multi-stage sampling Estimation of parameters Calculation of standard errors Efficiency of multi-stage samples. Introduction.

2.68k views • 29 slides

Representat?vness, balance and sampl?ng ?n a corpus L?nguist?cs

Representat?vness, balance and sampl?ng ?n a corpus L?nguist?cs. Introduction. A corpus is designed to respresent a particular language or language variety. It is impossible to analyse every extant utterance or sentence of a given language. Sampling is unavodiable.

422 views • 23 slides

Design of Statistical Investigations

Design of Statistical Investigations. Introduction to Sampling. Stephen Senn. Representative Inference. So far in the course we have been interested in comparisons with some sort of causal investigation We now look at the case where we are interested in collecting representative material

479 views • 23 slides

Representat?vness, balance and sampl?ng ?n a corpus L?nguist?cs

Representat?vness, balance and sampl?ng ?n a corpus L?nguist?cs. Introduction. A corpus is designed to respresent a particular language or language variety. It is impossible to analyse every extant utterance or sentence of a given language. Sampling is unavodiable.

371 views • 23 slides

Chapter 2 Introductory Information and Basic Terms: Basic Paradigm

Population. Sample. Inference. Statistics. Parameters. Chapter 2 Introductory Information and Basic Terms: Basic Paradigm. Chapter 2 Introductory Information and Basic Terms. BASIC TERMS WE WILL DEFINE Element (or Observation Unit) Population Sampling Unit Frame Sample.

584 views • 22 slides

Chapter 2 Introductory Information and Basic Terms: Basic Paradigm

Population. Sample. Inference. Statistics. Parameters. Chapter 2 Introductory Information and Basic Terms: Basic Paradigm. Chapter 2 Introductory Information and Basic Terms. BASIC TERMS WE WILL DEFINE Element Population Sampling Unit Frame Sample.

403 views • 19 slides

Objectives and data needs

424 views • 18 slides

Basic Sampling Concepts

Basic Sampling Concepts. (Session 02). Learning Objectives. By the end of this session, you will be able to describe what is meant by sample, target population, sampled (study) population, sampling frame, sampling units explain what is meant by a representative sample

622 views • 16 slides

(Source: Causeweb)

166 views • 12 slides

Equal Probability Sampling

Equal Probability Sampling. Simple Random Sampling. A procedure of sampling will be called SRS if, in sample of size n,all the possible combinations of n elementary units that may be formed from the population of N elementary units have the same probability of being included.

344 views • 11 slides